Educational
How AI detects inconsistencies in insurance claim documents
A claim file is several documents. An inconsistency is a fact that does not agree across them, or a document the file should contain and does not.
Saarvak · 11 November 2026 · 6 min read
Saarvak builds DocIntel AI, software that reads Indian business documents, including Hindi and Marathi pages in Devanagari, extracts fields, checks them against rules, and routes exceptions to a reviewer.
An insurance claim arrives as a set of documents: an FIR, a claim form, a surveyor report, an estimate. Reading each file well is document understanding. The operational question is whether the facts agree across the file.
How those layers differ is covered in OCR versus document understanding versus cross-document validation. This note stays on the claim file.
A synthetic inconsistency
Take a made-up file, in the same shape as the samples used elsewhere on this site. The FIR records incident date 12/03/2024 and FIR number 123/2024. The claim form records incident date 14/03/2024 for the same claimant. The estimate total is ₹48,500. Nothing here is a customer record.
- Incident date 12/03/2024 on the FIR against 14/03/2024 on the claim form is a mismatch.
- FIR number 123/2024 is present, so a “mandatory FIR number” rule passes.
- If the amount claimed on the form is not ₹48,500, the estimate and the claim do not reconcile, and that field pair fails on its own.
OCR can return both dates as text. It does not know they are the same fact. Understanding names “incident date” on each document. Validation is the step that puts 12/03/2024 beside 14/03/2024 and fails the rule.
What a claim check typically covers
Rules follow the checklist for that line of business. Common ones are:
- Incident date and place agree across the FIR, the claim form, and the surveyor report.
- Claimant and other party names are consistent across the file.
- Mandatory fields are present: FIR number, police station, dates.
- The estimate total is compared with the amount claimed.
- A document the checklist expects, and the file does not contain, is flagged as missing.
A missing document is not a character error. There is no page to read. The rule fails because the expected source is absent.
What the reviewer sees
The useful queue item names the conflict: incident date on the FIR does not match the claim form, with both dates and both page references attached. The reviewer confirms which date is right, or sends the file back. Low-confidence reads, such as a stamp over a date, belong in the same queue so a misread does not become a false pass.
See insurance claims, health and TPA claims, and what happens after extraction.
Bring a packet, not a single scan
A purchase order, a goods receipt, and the invoice that should match them. We will show what each layer returns.